Data · dataset · 2022
fmplaza/offendes
Listed in Hugging Face Datasets
Focusing on young influencers from the well-known social platforms of Twitter, Instagram, and YouTube, we have collected the corpus OffendES which is composed of Spanish comments manually labeled on offensive pre-defined categories.
Description
From the total corpus, we selected 30,416 posts to be publicly published, they correspond to the ones used in the MeOffendES competition at IberLEF 2021.
Links
Get the data
- Hugging Face dataset page huggingface.co/datasets/fmplaza/offendes ↗
Gated (auto) - request access on the dataset page
landing page · request access · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/fmplaza/offendes ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | fmplaza/offendes | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |